Abstract: Currently, many super-resolution (SR) methods based on CNNs and Transformers have become increasingly complex, which imposes significant limitations on their application in mobile platforms.

As genomics research accelerates, scientists face challenges in identifying functional proteins and understanding biological regulation. Traditional ...

This year, we’ll be blessed with new novels by Ann Patchett, Colson Whitehead, Andrew Sean Greer, and so many more celebrated ...

US lawmakers recognize that small businesses can no longer be left behind in the technological transformation reshaping the ...

High-severity flaws in the Chainlit AI framework could allow attackers to steal files, leak API keys & perform SSRF attacks; ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Chainalysis launches Workflows, a no-code tool automating blockchain data analytics without requiring SQL or Python expertise.

Vulnerabilities in Chainlit could be exploited without user interaction to exfiltrate environment variables, credentials, ...

The social media platform has taken a step towards transparency amid ongoing battles over platform spam and non-consensual AI ...

This means an AI system could gradually become less helpful, more deceptive, or even actively harmful without anyone realizing it until it's too late.

Security researchers uncovered two vulnerabilities in the popular Python-based AI app building tool that could allow ...

The attack consists of a NexShield malicious browser extension, a social engineering technique to crash the browser, and a ...